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A method of 3D nondestructive detection for plant root in situ based on CBCT imaging

机译:一种基于CBCT成像的工厂根系三维无损检测方法

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Root is an important organ for plant to uptake nutrient and water from the surrounding soil. And the capability of plant to obtain nutrient and water is closely relevant to its root distribution and architecture under ground. Soil is the source of water and nutrients for plant; however, it also obstructs the observation and measurement of the root system. A thorough investigation of root morphology and biology for plant root systems requires advanced observation and measurement methods to characterize the root architecture in situ. In this study, a three-dimensional (3-D) visualization and nondestructive detection technique using X-ray computed tomography (CT) based on a flat panel detector is presented. An experimental unit was developed to examine the technical feasibility. First, the CT was designed to capture the sectional images of plant roots growing in soil or other media. Second, a series of program processing was conducted for root CT images involving sequential image preprocessing, image segmentation, 3-D reconstruction and visualization, and extraction of root parameters. Finally, the parameters of the 3-D architecture of roots obtained from the computer detection were analyzed to compare them with those from manual measurements. The results show that (1) the reconstructive accuracy of volume approaches 87%, (2) the relative error of structural root length ranges from 3.27 to 10.82% with an average of 7.07%, (3) the relative error of root diameter at branch nodes ranges from 3.00 to 12.18% with an average of 8.06%, (4) the minimum diameter of roots available for detection is 0.2 mm, and (5) the relative error of root branch angle ranges from 3.74 to 21.15% with an average of 10.72%. Moreover, the nondestructive measurement method can be used to determine the structure of plant roots automatically, consecutively and dynamically without shifting or remolding the original form of root system in situ.
机译:根是植物从周围土壤吸收营养和水的重要器官。并且植物获得营养和水的能力与其在地面下的根部分布和架构密切相关。土壤是植物水和营养素的来源;然而,它还妨碍了根系的观察和测量。对植物根系系统的根系形态和生物学进行彻底调查需要先进的观察和测量方法,以便原位表征根系结构。在本研究中,呈现了一种基于平板检测器的X射线计算机断层扫描(CT)的三维(3-D)可视化和非破坏性检测技术。开发了一个实验单元来检查技术可行性。首先,CT被设计成捕获生长在土壤或其他介质中的植物根部的截面图像。其次,对涉及顺序图像预处理,图像分割,3-D重建和可视化的根CT图像进行一系列程序处理,以及根参数的提取。最后,分析了从计算机检测获得的根的三维结构的参数,以将它们与手动测量值进行比较。结果表明,(1)体积的重建精度为87%,(2)结构根长度的相对误差为3.27至10.82%,平均为7.07%,(3)分支处的根直径相对误差节点的范围为3.00至12.18%,平均为8.06%,(4)可用于检测的根最小直径为0.2 mm,(5)根部分支角度范围为3.74至21.15%,平均值10.72%。此外,非破坏性测量方法可用于自动,连续地,动态地自动地确定植物根的结构,而不会在不转移或以原位移位根系的原始形式。

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